Multi-Agent Systems with AutoGen

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  • MEAP began July 2024
  • Publication in August 2025 (estimated)
  • ISBN 9781633436145
  • 325 pages (estimated)
  • printed in black & white
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Automate complex, multi-step tasks and jobs with a system of specialized AI agents.

AI agents are a great way to automate individual tasks within an application. Combining many agents into a coordinated workflow–a multi-agent system–amplifies the potential for agents to solve complex problems. Multi-Agent Systems with AutoGen teaches you how to build collaborative teams of AI agents that can tackle tasks far beyond the capabilities of the standard prompt-and-response approach.

Inside Multi-Agent Systems with AutoGen you’ll learn how:

  • Autonomous task completion using AutoGen
  • Best practices for multi-agent workflows in user-facing applications
  • Controlling application UI—including the web and operating systems
  • Evaluate multi-agent applications
  • Optimize multi-agent applications

Multi-Agent Systems with AutoGen is written by the creator of AutoGen Studio Dr. Victor Dibia.. These expert authors distill their collective research and insights into a practical guide to building your first multi-agent systems. Complex concepts are made simple with concrete diagrams, examples, and code. You’ll design and implement AI applications that can solve tasks from telling you the weather all the way to developing software.

about the book

In Multi-Agent Systems with AutoGen you’ll get familiar with building multi-agent applications and AutoGen, an open source AI framework to create AI assistants that can handle tasks once impossible to automate. You’ll apply the techniques you learn to building a whole host of useful AI assistants—from AI financial analysts capable of analyzing stocks and providing data-grounded responses, to travel agents that can search and book flights to your budget and preferences.

The book goes far deeper than the fundamentals of agent implementation to explore the other factors vital to your agent’s success. You’ll find best practices for building the right human-AI user interface, evaluation techniques that help you learn from failures, performance optimizations, and methods for ensuring user security and privacy.

about the reader

For AI/ML engineers, software developers, and product architects who know the basics of building with generative AI.

about the author

Victor Dibia (PhD) is a Principal Research Software Engineer at Microsoft Research and has contributed to projects like GitHub Copilot that service millions of customers. He is the creator of LIDA, a widely used tool for automated visualizations using generative AI models, and AutoGen Studio, a low-code tool for prototyping multi-agent applications. Victor holds a PhD in Information Systems from City University of Hong Kong and an MSc in Computer Science from Carnegie Mellon University.
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“Great buy”
A Good Reference for Interface Agents
January 25, 2025 by A Reviewer (United States)
“I just started reading this and was pleasantly surprised to see that the author already had an implementation for interface agents (agents that complete tasks by driving a webbrowser). The Author released an implementation of OpenAI operator agents in AutoGen, the same day that Operator was released - quite impressive. This is an area that our team has been interested in for a while and could not find good references for, so it was helpful.
https://multiagentbook.com/labs/usecases/?usecase=browser-interface-agents

I appreciate the process of providing value even while the book is being written.
It would be great to have physical copies soon that I can share with colleagues as references!”
“Great buy”
Great first 4 chapters and interactive website
January 20, 2025 by A Reviewer (United States)
“I have read the first 4 chapters of the book and learned alot.
The author (a maintainer of the popular AutotGen framework) really invests time in explaining core concepts and illustrating them with examples.
Chapter 1 gives you a strong over of multiagent systems, when they are the right tool and the types of complex problems they are good for. Chapter 2 contains code (also on github) but expressing the basic ideas in code.
The author also has a website (multiagentbook.com) with interactive examples and code you can explore before you clone the GitHub repo. I appreciate that effort was made to compare implementation in AutoGen with other libraries like LangGraph. I hope the author adds more of these examples as it makes it easy for others to build on.

Looking forward to the complete book, the outline looks great!”
Verified Buyer
“Good ”
Hope it finishes soon
March 18, 2025 by A Reviewer (US)
“Still waiting on it to finish”
Verified Buyer
October 13, 2024 by Manuel (NY/NYC, US)
“I never got the book , i ordered ,I'm planing to cancel the payment with the Credit card company.”
Company Choice
I like your topics, but the service is not as good as the your books. I will continue buying frmo Amazon
Product Choice
to learn new technologies
Verified Buyer
Content was presented not as marketed
October 5, 2024 by A Reviewer (US)
“This author mention it will have 6 chapters but it does not have that. Many important concept was not included as publicized in LinkedIn. Very poor book. If possible would like to return back money.”

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monthly
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only $33.33 per month
  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
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  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Multi-Agent Systems with AutoGen ebook for free
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